Difficulty in inferring microbial community structure based on co-occurrence network approaches. - Hokuto Hirano; Kazuhiro Takemoto (BMC Bioinform., 2019)

Simple Iterative Method for Generating Targeted Universal Adversarial Perturbations. - Hokuto Hirano; Kazuhiro Takemoto (Algorithms, 2020)

Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks. - Hokuto Hirano; Kazuki Koga; Kazuhiro Takemoto (CoRR, 2020)

Universal adversarial attacks on deep neural networks for medical image classification. - Hokuto Hirano; Akinori Minagi; Kazuhiro Takemoto (BMC Medical Imaging, 2021)

Classification of Hematoma: Joint Learning of Semantic Segmentation and Classification. - Hokuto Hirano; Tsuyoshi Okita 002 (CoRR, 2021)

Natural Images Allow Universal Adversarial Attacks on Medical Image Classification Using Deep Neural Networks with Transfer Learning. - Akinori Minagi; Hokuto Hirano; Kazuhiro Takemoto (J. Imaging, 2022)